{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EJTAQPZU4B5RYDRPH23T5ZDE3M","short_pith_number":"pith:EJTAQPZU","canonical_record":{"source":{"id":"2308.02239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-04T10:35:40Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"ef54c6acccfdd2da10100cefa3dd3794f14a6527dced852cbcee5b2fde28d326","abstract_canon_sha256":"f9ef1cd9260b5d1970e1527407d1d7b940b7538e32edd9d0ca55b6cd3f96ae6f"},"schema_version":"1.0"},"canonical_sha256":"2266083f34e07b1c0e2f3eb73ee464db3d3097ebee935a92ac9640eff0058fba","source":{"kind":"arxiv","id":"2308.02239","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02239","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02239v1","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02239","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"pith_short_12","alias_value":"EJTAQPZU4B5R","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"pith_short_16","alias_value":"EJTAQPZU4B5RYDRP","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"pith_short_8","alias_value":"EJTAQPZU","created_at":"2026-07-05T06:37:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EJTAQPZU4B5RYDRPH23T5ZDE3M","target":"record","payload":{"canonical_record":{"source":{"id":"2308.02239","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-04T10:35:40Z","cross_cats_sorted":["cs.AI","cs.RO"],"title_canon_sha256":"ef54c6acccfdd2da10100cefa3dd3794f14a6527dced852cbcee5b2fde28d326","abstract_canon_sha256":"f9ef1cd9260b5d1970e1527407d1d7b940b7538e32edd9d0ca55b6cd3f96ae6f"},"schema_version":"1.0"},"canonical_sha256":"2266083f34e07b1c0e2f3eb73ee464db3d3097ebee935a92ac9640eff0058fba","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:37:39.946808Z","signature_b64":"Z8ZIJHyRu8i8nC4U1IFwZKIQst+te6fZCfmf6j+Dnn/4a0vOufmKzaFAVRIHFb+k7pS6yZutLMhhiLu0fW6HCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2266083f34e07b1c0e2f3eb73ee464db3d3097ebee935a92ac9640eff0058fba","last_reissued_at":"2026-07-05T06:37:39.946402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:37:39.946402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.02239","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:37:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bj+/rFjTCkwX0QJuz+dMcdBKxDNHVI2GLddpyUi2Pl/Sxg49CJx4oX3lo4B4PaCJzS3C0OTgzvjgqt/5CSqHCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:01:18.625404Z"},"content_sha256":"8574aa8b6b39f3b07b95e5eeb6cd4ea3b45bd5ef348d450bac100c319575d837","schema_version":"1.0","event_id":"sha256:8574aa8b6b39f3b07b95e5eeb6cd4ea3b45bd5ef348d450bac100c319575d837"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EJTAQPZU4B5RYDRPH23T5ZDE3M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.RO"],"primary_cat":"cs.CV","authors_text":"Dong Liu, Feifei Feng, Haowen Wang, Jian Tang, Xiuquan Qiao, Yakun Huang, Zhengping Che, Zhen Zhao, Zhipeng Fan, Zhiyuan Xu","submitted_at":"2023-08-04T10:35:40Z","abstract_excerpt":"Estimating 6D poses and reconstructing 3D shapes of objects in open-world scenes from RGB-depth image pairs is challenging. Many existing methods rely on learning geometric features that correspond to specific templates while disregarding shape variations and pose differences among objects in the same category. As a result, these methods underperform when handling unseen object instances in complex environments. In contrast, other approaches aim to achieve category-level estimation and reconstruction by leveraging normalized geometric structure priors, but the static prior-based reconstruction"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02239","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.02239/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:37:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gNMFD2B9iafnxlrKtM2BtkZ3B/wAZzEeMIXXvauuooEojTgGg+fzFDKh5DPZPe2KsB59vE2x1eFe1U3ZWB+ZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T13:01:18.625888Z"},"content_sha256":"0247b1f897c7aae71358154961e13481836d5657fa99047151f7fcb59f4a34b2","schema_version":"1.0","event_id":"sha256:0247b1f897c7aae71358154961e13481836d5657fa99047151f7fcb59f4a34b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M/bundle.json","state_url":"https://pith.science/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T13:01:18Z","links":{"resolver":"https://pith.science/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M","bundle":"https://pith.science/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M/bundle.json","state":"https://pith.science/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EJTAQPZU4B5RYDRPH23T5ZDE3M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EJTAQPZU4B5RYDRPH23T5ZDE3M","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"f9ef1cd9260b5d1970e1527407d1d7b940b7538e32edd9d0ca55b6cd3f96ae6f","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-04T10:35:40Z","title_canon_sha256":"ef54c6acccfdd2da10100cefa3dd3794f14a6527dced852cbcee5b2fde28d326"},"schema_version":"1.0","source":{"id":"2308.02239","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.02239","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"arxiv_version","alias_value":"2308.02239v1","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.02239","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"pith_short_12","alias_value":"EJTAQPZU4B5R","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"pith_short_16","alias_value":"EJTAQPZU4B5RYDRP","created_at":"2026-07-05T06:37:39Z"},{"alias_kind":"pith_short_8","alias_value":"EJTAQPZU","created_at":"2026-07-05T06:37:39Z"}],"graph_snapshots":[{"event_id":"sha256:0247b1f897c7aae71358154961e13481836d5657fa99047151f7fcb59f4a34b2","target":"graph","created_at":"2026-07-05T06:37:39Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.02239/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating 6D poses and reconstructing 3D shapes of objects in open-world scenes from RGB-depth image pairs is challenging. Many existing methods rely on learning geometric features that correspond to specific templates while disregarding shape variations and pose differences among objects in the same category. As a result, these methods underperform when handling unseen object instances in complex environments. In contrast, other approaches aim to achieve category-level estimation and reconstruction by leveraging normalized geometric structure priors, but the static prior-based reconstruction","authors_text":"Dong Liu, Feifei Feng, Haowen Wang, Jian Tang, Xiuquan Qiao, Yakun Huang, Zhengping Che, Zhen Zhao, Zhipeng Fan, Zhiyuan Xu","cross_cats":["cs.AI","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-04T10:35:40Z","title":"DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.02239","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:8574aa8b6b39f3b07b95e5eeb6cd4ea3b45bd5ef348d450bac100c319575d837","target":"record","created_at":"2026-07-05T06:37:39Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"f9ef1cd9260b5d1970e1527407d1d7b940b7538e32edd9d0ca55b6cd3f96ae6f","cross_cats_sorted":["cs.AI","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-04T10:35:40Z","title_canon_sha256":"ef54c6acccfdd2da10100cefa3dd3794f14a6527dced852cbcee5b2fde28d326"},"schema_version":"1.0","source":{"id":"2308.02239","kind":"arxiv","version":1}},"canonical_sha256":"2266083f34e07b1c0e2f3eb73ee464db3d3097ebee935a92ac9640eff0058fba","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2266083f34e07b1c0e2f3eb73ee464db3d3097ebee935a92ac9640eff0058fba","first_computed_at":"2026-07-05T06:37:39.946402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:37:39.946402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z8ZIJHyRu8i8nC4U1IFwZKIQst+te6fZCfmf6j+Dnn/4a0vOufmKzaFAVRIHFb+k7pS6yZutLMhhiLu0fW6HCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:37:39.946808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.02239","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8574aa8b6b39f3b07b95e5eeb6cd4ea3b45bd5ef348d450bac100c319575d837","sha256:0247b1f897c7aae71358154961e13481836d5657fa99047151f7fcb59f4a34b2"],"state_sha256":"303b6d43c5cc1d5d87e3407b2498e2c22a0804fa8894e6b64dcdb3e712a3b6b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pBH8iYeV5H200nHsmKTN7xiMmWhWpx2w8FsBeQYQxL0W+iwsgb5omhrsARd+VmbCGylx5aSQxXGjwYEu3qroBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T13:01:18.630115Z","bundle_sha256":"257e36b499e1f50ef7263a4f76da900973dc4ed6a8864e1bfdf26870f9de7266"}}